Research Article
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Estimating crop yield under conditions of soil water deficit and salinity stress with crop water productivity model

Year 2022, Volume: 6 Issue: 2, 254 - 262, 15.06.2022
https://doi.org/10.31015/jaefs.2022.2.8

Abstract

The aim of this study was to simulate grain yield, biomass production, canopy cover and water productivity of winter wheat grown under soil water deficit and salinity stress by AquaCrop model. Five different irrigation strategies (S100 - S75 - S50 – S25 and S0) and 5 different irrigation water salinity levels (T1 = 0.3 dS m-1, T2 =5 dS m-1, T3 = 7.5 dS m-1, T4 = 10 dS m-1, T5 = 15 dS m-1) were used with the model to estimate deficit irrigation and salinity stress scenarios. According to estimation of the model the grain and biomass yields were fluctuated in the range of 5.43-8.00 t ha-1 and 12.84-17.67 t ha-1 at irrigation treatments. The application of 25%, 50% and 75% level of deficit irrigation, grain yield reduction was obtained 5%, 13% and 26% respectively. It was compared to the T1 (control) treatment, a low value of 3% was obtained for the T2 treatment. Yield loss of T3 and T4 salinity treatments were found to be 19% and 43% respectively. The crop yield reduction was dramatically (86%) at 15 dS m salinity level of irrigation water. The lowest yield was obtained at all salinity levels in I25 treatment, where 75% water saved. The highest and lowest water productivity was 1.28 kg m-3 and 1.20 kg m-3 respectively. It is possible to irrigate much more areas saving water with deficit irrigation and also the yields obtained from these areas were 2.17, 6.17 and 17.2 tons more than the yields obtained from areas irrigated with full irrigation. For, sustainable water management in agriculture area, using simulation model such as AquaCrop is useful tolls to estimate effect of applied water depth and quality of irrigation water on crop yield. 

Supporting Institution

International Atomic Energy Agency (IAEA), Scientific and Technological Research Council of Turkiye

Project Number

TUR/14463, TUBITAK 1001/108O654.

Thanks

We gratefully acknowledge the technical and financial support of the International Atomic Energy Agency (IAEA) through the research contract number TUR/14463 and Scientific and Technological Research Council of Turkiye, project number TUBITAK 1001/108O654.

References

  • AEPI (2021). Publication of Agricultural Economic and Policy Development Institute. https://arastirma.tarim orman. gov.tr
  • Dastranj, M., Sepaskhah, A.R. (2021). Effects of irrigation water salinity and deficit irrigation on soil ions variation and uptake by safron (Crocus Sativus L.) Under two planting methods. Journal of Plant Growth Regulation. DOI:https://doi.org/10. 1007/s00344-020-10291-1.
  • Gowing, J.W., Rose, D.A., Ghamarnia, H. (2009). The effect of salinity on water productivity of wheat under deficit irrigation above shallow groundwater. Agricultural Water Management 96: 517–524. DOI:10.1016/j.agwat.2008.09.024
  • Hammami Z., Qureshi, A.S., Sahli, A., Gauffreteau, A., Chamekh, Z., Azaiez, F.A.B., Ayadi, S., Trifa, Y. (2020). Modeling the effects of irrigation water salinity on growth, yield and water productivity of barley in three contrasted environments. Agronomy. 10: 1459 DOI:https://doi.org/10.3390/agronomy10101459
  • Jiang, J., Huo, Z., Feng, S.Y., Kang, S.Z., Wang, F. and Zhang C. (2013). Effects of deficit irrigation with saline water on spring wheat growth and yield in arid Northwest China. J Arid Land (2013) 5(2): 143−154. DOI: 10.1007/s40333-013-0152-4
  • Kale Celik, S., Madenoglu, S. and Sonmez B. (2018). Evaluating Aquacrop Model for Winter Wheat under Various Irrigation Conditions in Turkey. Journal of Agricultural Sciences (24) 205-2017. DOI: 10.15832/ankutbd.446438
  • Kumar, S.B.P. (2020). Salinity stress, its physiological response and mitigating effects of microbial bio inoculants and organic compounds. Journal of Pharmacognosy and Phytochemistry 9(4), DOI:1397-1303. 10.22271/phyto.2020.v9.i4r.11925
  • Maysoun, M., Mabhaudhi, T., Ayvari, M.V. and Massawe F. (2021). Transition toward sustainable food systems: a holistic pathway toward sustainable development. In Food Security and Nutrition; Galanakis, C., Ed.; Academic Press: London, UK, 2020; pp. 44–45. DOI: https://doi.org/10.1016/B978-0-12-820521-1.00002-2
  • Memon S. A., Sheikha I.A., Talpura M.A., Mangrio M.A. (2021). Impact of deficit irrigation strategies on winter wheat in semi-arid climate of Sindh. Agricultural Water Management (243), 106389. DOI: 10.1016/j.agwat.2020.106389
  • Mostafazadeh-Fard, B., Mousavi, S.F., Mansouri, H. and Feizi, M. (2009). Effects of different levels of irrigation water salinity and leaching on yield and yield components of wheat in an arid region. Journal of Irrigation and Drainage Engineering 135(1). DOI: 10.1061/ASCE0733-94372009135:132
  • Mustafa S.M.T., Vanuytrechtb E., Huysman M. (2017). Combined deficit irrigation and soil fertility management on differentsoil textures to improve wheat yield in drought-prone Bangladesh. Agricultural Water Management 191 124–137. DOI: http://dx.doi.org/10.1016/j.agwat.2017.06.011
  • Pereira, L.S., Oweis, T., Zairi, A., (2002). Irrigation management under water scarcity. Agricultural Water Management. 57, 175–206. DOI: 0378-3774(02)00075-6
  • Raes, D., Steduto, P., Hsiao, T.C. and Fereres, E. (2012). FAO crop-water productivity model to simulate yield response to water. AquaCrop Version 4.0 Reference Manual FAO Land and Water Division Publication Rome Italy. DOI:https://doi.org/10.1016/j.envsoft.2014.08.005 Shahbandeh, M. (2022). Wheat - statistics & facts. World of wheat. https://www.statista.com/study/10549/world-of-wheat-statista-dossier/
  • Steduto, P., Hsiao, T.C., Raes, D. and Fereres E. (2009). AquaCrop-The FAO crop model to simulate yield response to water. I. Concepts and underlying principles. Agronomy Journal. 101: 426-437. DOI:https://doi.org/10.2134/agronj2008.0139s
  • Steduto, P., Hsiao, T.C., Fereres, E. and Raes, D. (2012). Crop yield response to water. FAO Irrigation and Drainage Paper, No: 66 Rome, Italy, pp. 516. ISBN 978-92-5-107274-5
  • Tari, A.F. (2016). The effects of different deficit irrigation strategies on yield, quality, and water-use efficiencies of wheat under semi-arid conditions. Agricultural Water Management. 167: 1-10. DOI: 10.1016/j.agwat. 2015.12.023
  • Tekin S., Sezen M., Arslan S., Boyacı S., Yıldız M. 2014.Water Production Functions of Wheat Irrigated with Saline Water Using Line Source Sprinkler System under the Mediterranean Type Climate. Turkish Journal of Agricultural and Natural Sciences. Special Issue: 1/1017-1024.
  • USDA, 2022. World Agricultural Production. United States Department of Agriculture, Circular Series WAP 2-22. https://apps.fas.usda.gov/psdonline/circulars/production.pdf
Year 2022, Volume: 6 Issue: 2, 254 - 262, 15.06.2022
https://doi.org/10.31015/jaefs.2022.2.8

Abstract

Project Number

TUR/14463, TUBITAK 1001/108O654.

References

  • AEPI (2021). Publication of Agricultural Economic and Policy Development Institute. https://arastirma.tarim orman. gov.tr
  • Dastranj, M., Sepaskhah, A.R. (2021). Effects of irrigation water salinity and deficit irrigation on soil ions variation and uptake by safron (Crocus Sativus L.) Under two planting methods. Journal of Plant Growth Regulation. DOI:https://doi.org/10. 1007/s00344-020-10291-1.
  • Gowing, J.W., Rose, D.A., Ghamarnia, H. (2009). The effect of salinity on water productivity of wheat under deficit irrigation above shallow groundwater. Agricultural Water Management 96: 517–524. DOI:10.1016/j.agwat.2008.09.024
  • Hammami Z., Qureshi, A.S., Sahli, A., Gauffreteau, A., Chamekh, Z., Azaiez, F.A.B., Ayadi, S., Trifa, Y. (2020). Modeling the effects of irrigation water salinity on growth, yield and water productivity of barley in three contrasted environments. Agronomy. 10: 1459 DOI:https://doi.org/10.3390/agronomy10101459
  • Jiang, J., Huo, Z., Feng, S.Y., Kang, S.Z., Wang, F. and Zhang C. (2013). Effects of deficit irrigation with saline water on spring wheat growth and yield in arid Northwest China. J Arid Land (2013) 5(2): 143−154. DOI: 10.1007/s40333-013-0152-4
  • Kale Celik, S., Madenoglu, S. and Sonmez B. (2018). Evaluating Aquacrop Model for Winter Wheat under Various Irrigation Conditions in Turkey. Journal of Agricultural Sciences (24) 205-2017. DOI: 10.15832/ankutbd.446438
  • Kumar, S.B.P. (2020). Salinity stress, its physiological response and mitigating effects of microbial bio inoculants and organic compounds. Journal of Pharmacognosy and Phytochemistry 9(4), DOI:1397-1303. 10.22271/phyto.2020.v9.i4r.11925
  • Maysoun, M., Mabhaudhi, T., Ayvari, M.V. and Massawe F. (2021). Transition toward sustainable food systems: a holistic pathway toward sustainable development. In Food Security and Nutrition; Galanakis, C., Ed.; Academic Press: London, UK, 2020; pp. 44–45. DOI: https://doi.org/10.1016/B978-0-12-820521-1.00002-2
  • Memon S. A., Sheikha I.A., Talpura M.A., Mangrio M.A. (2021). Impact of deficit irrigation strategies on winter wheat in semi-arid climate of Sindh. Agricultural Water Management (243), 106389. DOI: 10.1016/j.agwat.2020.106389
  • Mostafazadeh-Fard, B., Mousavi, S.F., Mansouri, H. and Feizi, M. (2009). Effects of different levels of irrigation water salinity and leaching on yield and yield components of wheat in an arid region. Journal of Irrigation and Drainage Engineering 135(1). DOI: 10.1061/ASCE0733-94372009135:132
  • Mustafa S.M.T., Vanuytrechtb E., Huysman M. (2017). Combined deficit irrigation and soil fertility management on differentsoil textures to improve wheat yield in drought-prone Bangladesh. Agricultural Water Management 191 124–137. DOI: http://dx.doi.org/10.1016/j.agwat.2017.06.011
  • Pereira, L.S., Oweis, T., Zairi, A., (2002). Irrigation management under water scarcity. Agricultural Water Management. 57, 175–206. DOI: 0378-3774(02)00075-6
  • Raes, D., Steduto, P., Hsiao, T.C. and Fereres, E. (2012). FAO crop-water productivity model to simulate yield response to water. AquaCrop Version 4.0 Reference Manual FAO Land and Water Division Publication Rome Italy. DOI:https://doi.org/10.1016/j.envsoft.2014.08.005 Shahbandeh, M. (2022). Wheat - statistics & facts. World of wheat. https://www.statista.com/study/10549/world-of-wheat-statista-dossier/
  • Steduto, P., Hsiao, T.C., Raes, D. and Fereres E. (2009). AquaCrop-The FAO crop model to simulate yield response to water. I. Concepts and underlying principles. Agronomy Journal. 101: 426-437. DOI:https://doi.org/10.2134/agronj2008.0139s
  • Steduto, P., Hsiao, T.C., Fereres, E. and Raes, D. (2012). Crop yield response to water. FAO Irrigation and Drainage Paper, No: 66 Rome, Italy, pp. 516. ISBN 978-92-5-107274-5
  • Tari, A.F. (2016). The effects of different deficit irrigation strategies on yield, quality, and water-use efficiencies of wheat under semi-arid conditions. Agricultural Water Management. 167: 1-10. DOI: 10.1016/j.agwat. 2015.12.023
  • Tekin S., Sezen M., Arslan S., Boyacı S., Yıldız M. 2014.Water Production Functions of Wheat Irrigated with Saline Water Using Line Source Sprinkler System under the Mediterranean Type Climate. Turkish Journal of Agricultural and Natural Sciences. Special Issue: 1/1017-1024.
  • USDA, 2022. World Agricultural Production. United States Department of Agriculture, Circular Series WAP 2-22. https://apps.fas.usda.gov/psdonline/circulars/production.pdf
There are 18 citations in total.

Details

Primary Language English
Subjects Agricultural, Veterinary and Food Sciences
Journal Section Research Articles
Authors

Sema Kale Çelik 0000-0001-8161-276X

Project Number TUR/14463, TUBITAK 1001/108O654.
Publication Date June 15, 2022
Submission Date March 14, 2022
Acceptance Date June 2, 2022
Published in Issue Year 2022 Volume: 6 Issue: 2

Cite

APA Kale Çelik, S. (2022). Estimating crop yield under conditions of soil water deficit and salinity stress with crop water productivity model. International Journal of Agriculture Environment and Food Sciences, 6(2), 254-262. https://doi.org/10.31015/jaefs.2022.2.8


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